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README.md
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@@ -174,7 +174,7 @@ Predict the continuous sale price of NYC properties using only raw, untransforme
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**Result:** R²≈0.
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The chart below reveals why: the raw price distribution is so skewed that the model produces negative predicted prices for some properties (physically impossible)
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and wildly overestimates others. This confirms that training on untransformed dollar values doesn't work - the log transformation in Part 4 is essential.
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****
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**Result:** R²≈0.06 - the model explains only 6% of price variance.
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The chart below reveals why: the raw price distribution is so skewed that the model produces negative predicted prices for some properties (physically impossible)
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and wildly overestimates others. This confirms that training on untransformed dollar values doesn't work - the log transformation in Part 4 is essential.
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